code: def make_arg(**kwargs):
      defaults = dict(
          elayers=1,
          subsample="1_2_2_1_1",
          etype="vggblstm",
          eunits=16,
          eprojs=8,
          dtype="lstm",
          dlayers=1,
          dunits=16,
          atype="add",
          aheads=2,
          awin=5,
          aconv_chans=4,
          aconv_filts=10,
          mtlalpha=0.0,
          lsm_type="",
          lsm_weight=0.0,
          sampling_probability=0.0,
          adim=16,
          dropout_rate=0.0,
          dropout_rate_decoder=0.0,
          nbest=5,
          beam_size=2,
          penalty=0.5,
          maxlenratio=1.0,
          minlenratio=0.0,
          ctc_weight=0.0,
          ctc_window_margin=0,  # dummy
          lm_weight=0.0,
          rnnlm=None,
          streaming_min_blank_dur=10,
          streaming_onset_margin=2,
          streaming_offset_margin=2,
          verbose=2,
          char_list=["あ", "い", "う", "え", "お"],
          outdir=None,
          ctc_type="builtin",
          report_bleu=False,
          report_cer=False,
          report_wer=False,
          sym_space="<space>",
          sym_blank="<blank>",
          sortagrad=0,
          grad_noise=False,
          context_residual=False,
          multilingual=False,
          replace_sos=False,
          tgt_lang=False,
          asr_weight=0.0,
          mt_weight=0.0,
      )
      defaults.update(kwargs)
      return argparse.Namespace(**defaults)
  
imports: from __future__ import division
  import argparse
  import importlib
  import os
  import tempfile
  from test.utils_test import make_dummy_json_st
  import chainer
  import numpy
  import pytest
  import torch
  from espnet.nets.pytorch_backend.nets_utils import pad_list
  from espnet.utils.training.batchfy import make_batchset
label_desc: Use image node_id 1 for calling a global function with example usage: make_arg() and returns: argparse